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From |
Alexandra Mahler-Haug <alexandra.mahlerhaug@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: GLLAMM question |

Date |
Tue, 27 Mar 2012 10:41:58 -0400 |

Using a gllamm model, I am trying to estimate the resulting probabilities that my dichotomous dependent variable==1 from changing the value of one dichotomous independent variable (setting the value of the independent variable in question at "1" and "0") while holding all other of my independent variables at their means/modes. Previously in my research, I used a one-level logit model in Stata and CLARIFY to estimate the change in probability (that my dichotomous dependent variable==1) which resulted from changing a dichotomous independent variable from 1 to 0 (while setting all other independent variables at their means/modes). However, the gllamm model is not supported by Clarify. I believe that there may be another way through Stata to set the values of independent variables at different levels and then compute the resulting probabilities that the dichotomous dependent variable==1 (under the estimated parameters of the gllamm model). I have not used gllapred or gllasim, but both of those appear to not offer an option to "set" the values of the independent variables (setting one independent variable at 0 and then 1 while also setting all other independent variables at their means/modes) and then calculate the probability that the dependent variable==1. I hope my question is understandable - any information/guidance would be much appreciated! All the best, Alexandra Mahler-Haug * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: GLLAMM question***From:*Stas Kolenikov <skolenik@gmail.com>

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